How do I apply for the Intern - Data Analysis in Logistics LCN Warehouse (m/f/x) position at Hilti Deutschland and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Intern - Data Analysis in Logistics LCN Warehouse (m/f/x) role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Intern - Data Analysis in Logistics LCN Warehouse (m/f/x) at Hilti Deutschland?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Hilti Deutschland provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern - Data Analysis in Logistics LCN Warehouse (m/f/x)

Hilti Deutschland

Found 2 months ago

Location

Schaan, Liechtenstein

Duration (Months)

6 Months

Time

Full-time

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Data Science
Business Analytics
Excel
Power BI
Python

Soft Skills

analytical skills
communication skills
collaborative
Proactive mindset
willingness to learn

Job Description

Are you a looking for a hands-on project in data analytics with real business impact? Join our team in Nendeln and contribute to a critical initiative aimed at improving the inbound process in our warehouse operations. In this role, you will work closely with operations, giving you the unique opportunity to see the immediate impact of your improvements. Your main responsibilities include: * Understanding the inbound process and collaborating with the team to identify improvement opportunities. * Developing a data-driven tool to measure and enhance communication with external stakeholders. * Supporting the creation of solutions that improve efficiency and can be integrated into daily operations. This project offers practical experience, exposure to real-world challenges, and the chance to make a tangible impact in a dynamic logistics environment.

Requirements

Knowledge/Studies in Data Science, Business Analytics or related.
Enrolled in a Bachelor program.
Strong analytical skills and ability to work with large datasets.
Familiarity with data analysis tools (e.g., Excel, Power BI, Python, or similar).
Good communication skills and ability to work collaboratively in a team.
Knowledge of German language is a plus.
Proactive mindset and willingness to learn in a dynamic environment.

Data & Analytics

Data Analysis

Nice to Haves

Knowledge of German language is a plus.

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